ML can be used for tasks such as classification, object recognition, and segmentation. Classification is a task to classify input data by assigning it to one or more categories. In fashion, some models were proposed to classify photographic images into fashion style categories (Fig. REF ) [1]}, [2]}. Object recognition and segmentation are tasks to detect objects in the input data. They can be used to detect parts of clothes or poses of subjects (Figs. REF  and REF ) [3]}, [4]}, [5]}, [6]}, [7]}, [8]}, [9]}, [10]}. By combining these tasks, ML can select appropriate images, classify the images into categories, and measure the features on behalf of a human to improve the efficiency of analyzing digital archives.
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